Intermediate intrinsic diversity enhances neural population coding

Proceedings of the National Academy of Sciences of the United States of America

Volumn 110, Issue 20, 2013, Pages 8248-8253

  Tripathy, Shreejoy J ^a   Padmanabhan, Krishnan ^a   Gerkin, Richard C ^a,c   Urban, Nathaniel N ^a,b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

Generalized linear models; Intrinsic biophysics; Ion channels; Neural variability; Stimulus coding

Indexed keywords

ANIMAL CELL; ARTICLE; BIOPHYSICS; CELL FUNCTION; CELL POPULATION; CELL STIMULATION; CELL STRUCTURE; EVOKED RESPONSE; MITRAL CELL; NERVE CELL; NONHUMAN; PRIORITY JOURNAL; SPIKE WAVE; SYNAPTIC TRANSMISSION;

GENERALIZED LINEAR MODELS; INTRINSIC BIOPHYSICS; ION CHANNELS; NEURAL VARIABILITY; STIMULUS CODING;

ACTION POTENTIALS; ALGORITHMS; ANIMALS; BAYES THEOREM; ELECTROPHYSIOLOGY; ION CHANNELS; LINEAR MODELS; MICE; MODELS, NEUROLOGICAL; NEURONS; OLFACTORY BULB; REPRODUCIBILITY OF RESULTS;

EID: 84877847932     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1221214110     Document Type: Article

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